Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast-Enhanced MRI.

Sun, Rong; Hou, Xuewen; Li, Xiujuan; Xie, Yuanzhong; Nie, Shengdong

Sun, Rong; Hou, Xuewen; Li, Xiujuan; Xie, Yuanzhong; Nie, Shengdong.

Affiliation

Sun R; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Hou X; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Li X; Medical Imaging Center, Tai'an Central Hospital, Tai'an, China.
Xie Y; Medical Imaging Center, Tai'an Central Hospital, Tai'an, China.
Nie S; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China.

J Magn Reson Imaging ; 55(5): 1518-1534, 2022 05.

Article in En | MEDLINE | ID: mdl-34668601

Subject(s)

Breast Neoplasms; Breast Neoplasms/diagnostic imaging; Female; Humans; Magnetic Resonance Imaging; ROC Curve; Retrospective Studies; Unsupervised Machine Learning

Key words

artificial intelligence; breast MRI; deep mutual information maximization; molecular subtype; transfer learning; unsupervised learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Magn Reson Imaging Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article Affiliation country: China

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